Te Kaiurungi About the Role
You will drive and continually improve our data platform and automation stack, working with the business, technology and industry professionals to determine the requirements to embed what is needed.
You will drive and build knowledge of the wider suite of technology systems in order to consult and provide expert advice on the end-to-end data environments. This includes :
Support the Product Manager and the wider team in grooming the backlog, research system, user and environment aspects of any development to ensure that that the functional aspects of a given feature or service are well understood, and the linkages, dependencies and outcomes are all effectively catered for with no unexpected consequences across the business
Work across the functional stakeholders, including engagement at working groups, and wider Technology to tease out details, assist with scoping support functions, and supporting materials for customers and internal service suppliers to enable the delivery of optimal solutions.
Own requirements management including decisions on conflicting requirements across projects or programmes of work. Own effective change control and clarification processes relating to requirements
Ō Pūkenga About You
Experience building big data solutions on AWS using both IaaS (e.g. s3, EC2, ECS) and PaaS (e.g Redshift, Glue, Sagemaker) components to deliver highly available platforms
Experience managing relational databases (Oracle, MSSQL, DB2, Postgres)
Big Data experience e.g. Hadoop (Cloudera) or Hadoop ecosystem tools such as Kafka, Sqoop, Flume.
Experience in managing ETL tools e.g. Informatica
Experience in managing data pipelines in cloud - AWS / Azure
5-7 years of experience working with Midrange Systems
5+ years broad, practical, experience in an Enterprise environment as a Senior Technical Specialist or Engineer
RHEL, RHEV, Satellite
Ansible, Puppet, Jenkins, Foreman
Python, PowerShell, Java
Experience in Infrastructure as Code development, deployment and testing